Geetika Sethi

About

Geetika Sethi is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Geetika Sethi has authored 8 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cancer Research and 2 papers in Computational Theory and Mathematics. Recurrent topics in Geetika Sethi’s work include Bioinformatics and Genomic Networks (2 papers), Computational Drug Discovery Methods (2 papers) and Protein Tyrosine Phosphatases (1 paper). Geetika Sethi is often cited by papers focused on Bioinformatics and Genomic Networks (2 papers), Computational Drug Discovery Methods (2 papers) and Protein Tyrosine Phosphatases (1 paper). Geetika Sethi collaborates with scholars based in United States and India. Geetika Sethi's co-authors include Andrew K. Godwin, Safinur Atay, Lori Rink, Jennifer Crow, Samagya Banskota, Ziyan Y. Pessetto, Scott J. Weir, Ram Samudrala, Gaurav Chopra and Harsh B. Pathak and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Drug Discovery Today.

In The Last Decade

Co-authorship network of co-authors of Geetika Sethi i

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Fields of papers citing papers by Geetika Sethi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geetika Sethi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Geetika Sethi. The network helps show where Geetika Sethi may publish in the future.

Countries citing papers authored by Geetika Sethi

Since Specialization

Citations

This map shows the geographic impact of Geetika Sethi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Geetika Sethi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geetika Sethi more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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